65 lines
1.1 KiB
Nix
65 lines
1.1 KiB
Nix
{ lib
|
|
, buildPythonPackage
|
|
, dask
|
|
, dask-glm
|
|
, distributed
|
|
, fetchPypi
|
|
, multipledispatch
|
|
, numba
|
|
, numpy
|
|
, packaging
|
|
, pandas
|
|
, pythonOlder
|
|
, scikit-learn
|
|
, scipy
|
|
, setuptools-scm
|
|
, toolz
|
|
}:
|
|
|
|
buildPythonPackage rec {
|
|
pname = "dask-ml";
|
|
version = "2022.5.27";
|
|
format = "setuptools";
|
|
|
|
disabled = pythonOlder "3.6";
|
|
|
|
src = fetchPypi {
|
|
inherit pname version;
|
|
hash = "sha256-Y2nTk0GSvMGSP87oTD+4+8zsoQITeQEHC6Px2eOGzOQ=";
|
|
};
|
|
|
|
nativeBuildInputs = [
|
|
setuptools-scm
|
|
];
|
|
|
|
propagatedBuildInputs = [
|
|
dask
|
|
dask-glm
|
|
distributed
|
|
multipledispatch
|
|
numba
|
|
numpy
|
|
packaging
|
|
pandas
|
|
scikit-learn
|
|
scipy
|
|
toolz
|
|
];
|
|
|
|
# has non-standard build from source, and pypi doesn't include tests
|
|
doCheck = false;
|
|
|
|
pythonImportsCheck = [
|
|
"dask_ml"
|
|
"dask_ml.naive_bayes"
|
|
"dask_ml.wrappers"
|
|
"dask_ml.utils"
|
|
];
|
|
|
|
meta = with lib; {
|
|
description = "Scalable Machine Learn with Dask";
|
|
homepage = "https://github.com/dask/dask-ml";
|
|
license = licenses.bsd3;
|
|
maintainers = with maintainers; [ costrouc ];
|
|
};
|
|
}
|